FloodNet: Low-Cost Ultrasonic Sensors for Real-Time Measurement of Hyperlocal, Street-Level Floods in New York City

被引:9
作者
Mydlarz, Charlie [1 ]
Sai Venkat Challagonda, Praneeth [2 ]
Steers, Bea [1 ]
Rucker, Jeremy [1 ]
Brain, Tega [3 ]
Branco, Brett [4 ,5 ]
Burnett, Hannah E. [6 ]
Kaur, Amanpreet [1 ]
Fischman, Rebecca [7 ]
Graziano, Kathryn [8 ]
Krueger, Kendra [2 ]
Henaff, Elizabeth [1 ,3 ]
Ignace, Veroneque [4 ]
Jozwiak, Erika [7 ]
Palchuri, Jatin [1 ]
Pierone, Polly [4 ]
Rothman, Paul [9 ]
Toledo-Crow, Ricardo [2 ]
Silverman, Andrea I. [1 ,10 ]
机构
[1] NYU, Tandon Sch Engn, Ctr Urban Sci Progress, Brooklyn, NY 11201 USA
[2] City Univ New York, Adv Sci Res Ctr, New York, NY USA
[3] NYU, Tandon Sch Engn, Integrated Design & Media, Brooklyn, NY USA
[4] Brooklyn Coll, Sci & Resilience Inst Jama Bay, Brooklyn, NY USA
[5] CUNY, Grad Ctr, Earth & Environm Sci, New York, NY USA
[6] NYU, Tandon Sch Engn, Dept Technol Culture & Soc, Brooklyn, NY USA
[7] New York City Mayors Off Climate & Environm Justic, New York, NY USA
[8] Cornell Univ, New York Sea Grant, Ithaca, NY USA
[9] New York City Off Technol & Innovat, New York, NY USA
[10] NYU, Tandon Sch Engn, Dept Civil & Urban Engn, Brooklyn, NY 10003 USA
关键词
sensor network; flood; flooding; community; street level flooding; urban; CITIES;
D O I
10.1029/2023WR036806
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Flooding is one of the most dangerous and costly natural hazards, and has a large impact on infrastructure, mobility, public health, and safety. Despite the disruptive impacts of flooding and predictions of increased flooding due to climate change, municipalities have little quantitative data available on the occurrence, frequency, or extent of urban floods. To address this, we have been designing, building, and deploying low-cost, ultrasonic sensors to systematically collect data on the presence, depth, and duration of street-level floods in New York City (NYC), through a project called FloodNet. FloodNet is a partnership between academic researchers and NYC municipal agencies, working in consultation with residents and community organizations. FloodNet sensors are designed to be compact, rugged, low-cost, and deployed in a manner that is independent of existing power and network infrastructure. These requirements were implemented to allow deployment of a hyperlocal, city-wide sensor network, given that urban floods often occur in a distributed manner due to local variations in land development, population density, sewer design, and topology. Thus far, 87 FloodNet sensors have been installed across the five boroughs of NYC. These sensors have recorded flood events caused by high tides, stormwater runoff, storm surge, and extreme precipitation events, illustrating the feasibility of collecting data that can be used by multiple stakeholders for flood resiliency planning and emergency response. Low-cost, ultrasonic sensors were designed and built to monitor the profiles of hyperlocal, street-level floods Sensor hardware, network architecture, and data ingestion, processing, and visualization tools were designed to maximize data usability The FloodNet project is installing flood sensors across New York City to collect data for community, city agency, and research stakeholders
引用
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页数:22
相关论文
共 35 条
[1]   Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review [J].
Arshad, Bilal ;
Ogie, Robert ;
Barthelemy, Johan ;
Pradhan, Biswajeet ;
Verstaevel, Nicolas ;
Perez, Pascal .
SENSORS, 2019, 19 (22)
[2]   Open storm: a complete framework for sensing and control of urban watersheds [J].
Bartos, Matthew ;
Wong, Brandon ;
Kerkez, Branko .
ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2018, 4 (03) :346-358
[3]   A Technical Overview of the New York State Mesonet Standard Network [J].
Brotzge, Jerald A. ;
Wang, J. ;
Thorncroft, C. D. ;
Joseph, E. ;
Bain, N. ;
Bassill, N. ;
Farruggio, N. ;
Freedman, J. M. ;
Hemker, K., Jr. ;
Johnston, D. ;
Kane, E. ;
McKim, S. ;
Miller, S. D. ;
Minder, J. R. ;
Naple, P. ;
Perez, S. ;
Schwab, James J. ;
Schwab, M. J. ;
Sicker, J. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2020, 37 (10) :1827-1845
[4]   A self-calibration water level measurement using an interdigital capacitive sensor [J].
Chetpattananondh, K. ;
Tapoanoi, T. ;
Phukpattaranont, P. ;
Jindapetch, N. .
SENSORS AND ACTUATORS A-PHYSICAL, 2014, 209 :175-182
[5]   Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network [J].
de Vitry, Matthew Moy ;
Kramer, Simon ;
Wegner, Jan Dirk ;
Leitao, Joao P. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2019, 23 (11) :4621-4634
[6]   Changing urban risk: 140 years of climatic hazards in New York City [J].
Depietri, Yaella ;
McPhearson, Timon .
CLIMATIC CHANGE, 2018, 148 (1-2) :95-108
[7]  
Filonenko A, 2015, IEEE IND ELEC, P4082, DOI 10.1109/IECON.2015.7392736
[8]  
FloodNet, 2023, FloodNet public facing data dashboard
[9]  
FloodNet, 2023, FloodNet flood sensor data - October 2020 to October 2023, DOI [10.5281/zenodo.10211443, DOI 10.5281/ZENODO.10211443]
[10]  
Galloway G.E., 2018, The Growing Threat of Urban Flooding: A National Challenge